What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Statistics
- Artificial intelligence
The scientist’s investigation covers issues in Injury prevention, Occupational safety and health, Demography, Physical therapy and Human factors and ergonomics.
The concepts of his Injury prevention study are interwoven with issues in Cohort study, Cohort, Crash, Risk assessment and Forensic engineering.
His Crash study incorporates themes from Poisson regression and Mobile phone.
As a member of one scientific family, he mostly works in the field of Occupational safety and health, focusing on Environmental health and, on occasion, Public health.
His biological study spans a wide range of topics, including Computer security, Relative risk, Distraction and Incidence.
Mark Stevenson has researched Physical therapy in several fields, including Football, Medical encyclopedia and Low back pain.
His most cited work include:
- Role of mobile phones in motor vehicle crashes resulting in hospital attendance: a case-crossover study (505 citations)
- Flexibility from a supply chain perspective: definition and review (464 citations)
- Diagnosis of DVT: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines (440 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Injury prevention, Artificial intelligence, Occupational safety and health, Veterinary medicine and Natural language processing.
His Injury prevention study combines topics from a wide range of disciplines, such as Environmental health, Demography, Suicide prevention, Human factors and ergonomics and Crash.
His Artificial intelligence study frequently draws connections to adjacent fields such as Information retrieval.
Mark Stevenson works in the field of Veterinary medicine, focusing on Herd in particular.
In most of his Natural language processing studies, his work intersects topics such as Word-sense disambiguation.
He most often published in these fields:
- Injury prevention (10.36%)
- Artificial intelligence (9.34%)
- Occupational safety and health (8.91%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (9.34%)
- Veterinary medicine (8.10%)
- Outbreak (3.43%)
In recent papers he was focusing on the following fields of study:
Mark Stevenson mainly investigates Artificial intelligence, Veterinary medicine, Outbreak, Deep learning and Herd.
His studies deal with areas such as Machine learning and Natural language processing as well as Artificial intelligence.
His study in Word extends to Natural language processing with its themes.
His Outbreak research focuses on subjects like Incidence, which are linked to Epidemiology.
His Deep learning study frequently links to related topics such as Data science.
Mark Stevenson combines topics linked to Dairy cattle with his work on Herd.
Between 2018 and 2021, his most popular works were:
- Blockchain technology: implications for operations and supply chain management (92 citations)
- Changing the urban design of cities for health: The superblock model (32 citations)
- Reconstructing foot-and-mouth disease outbreaks: a methods comparison of transmission network models (31 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Statistics
- Law
Mark Stevenson focuses on Veterinary medicine, Supply chain, Epidemiology, Artificial intelligence and Disease.
His study in the field of Herd also crosses realms of Histochemical staining.
His work on Supply chain management as part of general Supply chain research is frequently linked to Inverted u and Extant taxon, bridging the gap between disciplines.
His work deals with themes such as Mortality rate and Environmental health, which intersect with Epidemiology.
His research investigates the connection between Environmental health and topics such as Poisson regression that intersect with issues in Bayes' theorem.
His Artificial intelligence research includes themes of Suspect and Triage.
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